Jobs · Virginia

Senior Customer Experience Operations Analyst

Darktrace · Virginia, United States · 6 days ago
Hybrid$100k–$120k/yrFull-time

Darktrace is a global leader in AI-driven cybersecurity, helping organizations stay ahead of evolving threats. The CX Operations team is seeking a Senior Customer Experience Operations Analyst to build and own a series of CX Metrics dashboards that provide leading indicators and performance results across all Chief Customer Officer (CCO) functions: Professional Services, Customer Success, Analyst Services, and Support.

Please note that while this role is remote, candidates must be based in the Eastern Time Zone.

Responsibilities

  • Develop a phased CX Metrics dashboard strategy. Start by delivering initial core metrics for each CCO function (Professional Services, Customer Success, Analyst Services, Support) and then build out a more robust dashboard and insights framework over time
  • Investigate and map CX data across multiple systems (including Salesforce, Gong, and proprietary applications) to identify which fields and field combinations are needed to produce each desired metric
  • Partner with IT, Application, and Data Warehouse teams to get access to source data, while owning the CX-layer logic for how that data is structured, transformed, and used for operational reporting
  • Perform hands-on data transformation and cleansing as an interim solution for immediate business needs and migrate to the data warehouse solution as that source evolves to meet the business needs
  • Design and build automated dashboard feeds that pull data from multiple systems into a single view of CX leading indicators and performance metrics
  • Become the CX organization's go-to person on data lineage, data quality, and source-system quirks. Proactively identify and resolve data integrity issues that affect metric accuracy
  • Work through ambiguous data situations by talking to people across departments, piecing together undocumented logic, and documenting the resulting data definitions and calculation methods
  • Share insights and recommendations from the dashboards with CX leaders and functional teams. Surface trends, flag anomalies, and identify opportunities for improvement
  • Build and maintain a CX metrics catalog that documents the standard metrics for each CCO function, what they measure, where the data comes from, and how often it refreshes
  • Work with Revenue Operations, Data & Analytics, and Business Systems teams as a consumer and partner, ensuring CX-specific reporting and insights needs are met without duplicating existing efforts
  • Leverage AI tools to accelerate data exploration, automate repetitive transformation tasks, and generate initial drafts of analyses or documentation

Requirements

  • 3+ years of experience in analytics, business intelligence, or data-focused roles within Customer Experience, Customer Success, or SaaS operations environments
  • Experience building dashboards and automated reporting using tools such as Tableau and Power BI with live data connections
  • Hands-on proficiency with data transformation and preparation. Comfortable writing SQL queries and simple ETL logic to manage data as an interim solution for immediate business needs
  • Strong working knowledge of Salesforce data architecture, reporting and dashboards and experience extracting, joining, and interpreting data from CRM and adjacent systems (e.g., Gong, Gainsight, proprietary platforms)
  • Familiarity with standard CX metrics (Customer Success, Professional Services, Renewals, Support) and an understanding of how each metric drives outcomes
  • Proven ability to work in situations where nobody has a clear answer. Comfortable interviewing stakeholders, reverse-engineering undocumented processes, and pulling together incomplete information into reliable metric definitions
  • Comfortable using AI and large language model tools (e.g., Copilot, Claude) to speed up data analysis, write or debug code, and draft documentation
  • Strong communication skills. Ability to present findings to senior leaders and explain complex data concepts in plain business terms
  • Highly organized and self-directed. Ability to manage a phased roadmap of deliverables across multiple functional stakeholders simultaneously
  • Collaborative mindset with experience partnering across IT, Data Engineering, and business teams, while maintaining clear ownership boundaries appropriate to an operations role

Benefits

  • 100% medical, dental and vision insurance, plus dependents
  • Paid parental leave
  • Pet insurance
  • Discount
  • Life insurance
  • Commuter benefits
  • 401(k)
  • Employee Assistance Program

Pay

$100,000-$120,000

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